{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload//Experiment3Pt2Log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}12 Jan 2025, 09:29:48
{txt}
{com}. 
. use "${c -(}MyProject{c )-}CCES2022processedUPLOAD.dta", clear
{txt}
{com}. 
. * Hegemony
. 
. clonevar hegemony_concern = UMA315
{txt}
{com}. lab var hegemony_concern "US Strengthening or Weakening"
{txt}
{com}. 
. * News interest
. 
. clonevar newsint_num = newsint
{txt}
{com}. recode newsint_num (4 = 3) (7 = .)
{txt}(116 changes made to {bf:newsint_num})

{com}. lab def NEWSINT 3 "Now and then / hardly at all", modify
{txt}
{com}. 
.         
. 
. ********************************************************************************
. * Descriptive Plots
. ********************************************************************************
. 
. /// Figure 6 A) 
> 
.         
. * Descriptive plot of Most Preferred Intervention
. 
. catplot                                                                                                                                                 ///
>         , over(subs_DV_main, label(labsize(*.65)))                                                                      ///
>         over(subs_treatment, label(labsize(2)))                                                                         ///
>         asyvars stack                                                                                                                           ///
>         bar(1, bcolor(ebg)) bar(2, bcolor(dimgray))                                                             ///
>         horizontal percent(subs_treatment)                                                                                      ///
>         ytitle("Percent")                                                                                                                       ///
>         blabel(bar,format(%4.1f) box margin(".5 .5 .5 .5") fcolor(white) color(black) size(2) position(center))                                                         ///
>         legend(position(12) rows(1) size(vsmall)) name(gph_subs_treatment,replace)                              ///
>         title("{c -(}bf:A) Most Preferred Intervention by Treatment, Substitutability Scenario{c )-}")    ///
>         note("N = 830", size(small))
{res}{txt}
{com}.         
.         
. 
. ********************************************************************************
. * Multinomial logistic regression
. ********************************************************************************
. 
. * Treatment only
. 
. mlogit  subs_DV_main b2.subs_treatment

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-844.69793}  
Iteration 1:{space 2}Log likelihood = {res: -832.8539}  
Iteration 2:{space 2}Log likelihood = {res:-832.69275}  
Iteration 3:{space 2}Log likelihood = {res:-832.69268}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:824}
{txt}{col 57}{lalign 13:LR chi2({res:6})}{col 70} = {res}{ralign 6:24.01}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0005}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-832.69268}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0142}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6138664{col 29}{space 2} .2394668{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4} .1445201{col 70}{space 3} 1.083213
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .0229375{col 29}{space 2} .2662118{col 40}{space 1}    0.09{col 49}{space 3}0.931{col 57}{space 4}-.4988279{col 70}{space 3}  .544703
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.724749{col 29}{space 2} .1809096{col 40}{space 1}   -9.53{col 49}{space 3}0.000{col 57}{space 4}-2.079325{col 70}{space 3}-1.370172
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2}  .871694{col 29}{space 2} .3165036{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} .2513583{col 70}{space 3}  1.49203
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .7065503{col 29}{space 2} .3227058{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .0740585{col 70}{space 3} 1.339042
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.475053{col 29}{space 2}  .252535{col 40}{space 1}   -9.80{col 49}{space 3}0.000{col 57}{space 4}-2.970012{col 70}{space 3}-1.980093
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6651583{col 29}{space 2}  .311469{col 40}{space 1}    2.14{col 49}{space 3}0.033{col 57}{space 4} .0546904{col 70}{space 3} 1.275626
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .8915908{col 29}{space 2} .2985053{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} .3065312{col 70}{space 3}  1.47665
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.363827{col 29}{space 2} .2399625{col 40}{space 1}   -9.85{col 49}{space 3}0.000{col 57}{space 4}-2.834145{col 70}{space 3}-1.893509
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_base_mlog, title("Base, Mlogit")
{txt}
{com}. local subs_base_mlogN = e(N)
{txt}
{com}. 
. * With demographics
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female college i.pid7

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-844.69793}  
Iteration 1:{space 2}Log likelihood = {res:-792.32739}  
Iteration 2:{space 2}Log likelihood = {res:-788.66706}  
Iteration 3:{space 2}Log likelihood = {res:-788.52756}  
Iteration 4:{space 2}Log likelihood = {res:-788.49892}  
Iteration 5:{space 2}Log likelihood = {res:-788.49228}  
Iteration 6:{space 2}Log likelihood = {res:-788.49112}  
Iteration 7:{space 2}Log likelihood = {res:  -788.491}  
Iteration 8:{space 2}Log likelihood = {res:-788.49097}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:824}
{txt}{col 57}{lalign 13:LR chi2({res:39})}{col 70} = {res}{ralign 6:112.41}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-788.49097}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0665}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2}  .567226{col 29}{space 2} .2505022{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} .0762507{col 70}{space 3} 1.058201
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .0194469{col 29}{space 2} .2757295{col 40}{space 1}    0.07{col 49}{space 3}0.944{col 57}{space 4}-.5209729{col 70}{space 3} .5598667
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} -.004367{col 29}{space 2} .0066989{col 40}{space 1}   -0.65{col 49}{space 3}0.514{col 57}{space 4}-.0174965{col 70}{space 3} .0087626
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.1881586{col 29}{space 2} .2508816{col 40}{space 1}   -0.75{col 49}{space 3}0.453{col 57}{space 4}-.6798774{col 70}{space 3} .3035602
{txt}{space 9}female {c |}{col 17}{res}{space 2} .7111399{col 29}{space 2} .2230873{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4} .2738968{col 70}{space 3} 1.148383
{txt}{space 8}college {c |}{col 17}{res}{space 2}-1.091671{col 29}{space 2} .2453449{col 40}{space 1}   -4.45{col 49}{space 3}0.000{col 57}{space 4}-1.572538{col 70}{space 3}-.6108037
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .0973129{col 29}{space 2} .3656007{col 40}{space 1}    0.27{col 49}{space 3}0.790{col 57}{space 4}-.6192513{col 70}{space 3} .8138771
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}  .233248{col 29}{space 2} .3656207{col 40}{space 1}    0.64{col 49}{space 3}0.524{col 57}{space 4}-.4833555{col 70}{space 3} .9498515
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-1.415777{col 29}{space 2} .4470386{col 40}{space 1}   -3.17{col 49}{space 3}0.002{col 57}{space 4}-2.291957{col 70}{space 3}-.5395977
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.0501026{col 29}{space 2} .3999778{col 40}{space 1}   -0.13{col 49}{space 3}0.900{col 57}{space 4}-.8340447{col 70}{space 3} .7338395
{txt}Not very str..  {c |}{col 17}{res}{space 2}-.2599074{col 29}{space 2} .3970172{col 40}{space 1}   -0.65{col 49}{space 3}0.513{col 57}{space 4}-1.038047{col 70}{space 3}  .518232
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.2033014{col 29}{space 2} .3232722{col 40}{space 1}   -0.63{col 49}{space 3}0.529{col 57}{space 4}-.8369034{col 70}{space 3} .4303006
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.1801004{col 29}{space 2} .7111042{col 40}{space 1}   -0.25{col 49}{space 3}0.800{col 57}{space 4}-1.573839{col 70}{space 3} 1.213638
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.225023{col 29}{space 2} .4808791{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4}-2.167528{col 70}{space 3}-.2825169
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .8402749{col 29}{space 2} .3262063{col 40}{space 1}    2.58{col 49}{space 3}0.010{col 57}{space 4} .2009222{col 70}{space 3} 1.479628
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}  .708136{col 29}{space 2} .3319071{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4}   .05761{col 70}{space 3} 1.358662
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0114676{col 29}{space 2} .0078845{col 40}{space 1}   -1.45{col 49}{space 3}0.146{col 57}{space 4} -.026921{col 70}{space 3} .0039858
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0064188{col 29}{space 2} .2949929{col 40}{space 1}   -0.02{col 49}{space 3}0.983{col 57}{space 4}-.5845942{col 70}{space 3} .5717566
{txt}{space 9}female {c |}{col 17}{res}{space 2} .6953573{col 29}{space 2} .2714057{col 40}{space 1}    2.56{col 49}{space 3}0.010{col 57}{space 4} .1634119{col 70}{space 3} 1.227303
{txt}{space 8}college {c |}{col 17}{res}{space 2} .1150493{col 29}{space 2} .2568509{col 40}{space 1}    0.45{col 49}{space 3}0.654{col 57}{space 4}-.3883691{col 70}{space 3} .6184678
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2}  .574882{col 29}{space 2} .3650457{col 40}{space 1}    1.57{col 49}{space 3}0.115{col 57}{space 4}-.1405945{col 70}{space 3} 1.290358
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2} -.500867{col 29}{space 2} .4860023{col 40}{space 1}   -1.03{col 49}{space 3}0.303{col 57}{space 4}-1.453414{col 70}{space 3} .4516801
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-1.089637{col 29}{space 2}  .482209{col 40}{space 1}   -2.26{col 49}{space 3}0.024{col 57}{space 4}-2.034749{col 70}{space 3}-.1445247
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-1.467011{col 29}{space 2} .7575317{col 40}{space 1}   -1.94{col 49}{space 3}0.053{col 57}{space 4}-2.951746{col 70}{space 3} .0177236
{txt}Not very str..  {c |}{col 17}{res}{space 2}-.6480472{col 29}{space 2} .5237286{col 40}{space 1}   -1.24{col 49}{space 3}0.216{col 57}{space 4}-1.674537{col 70}{space 3} .3784421
{txt}Strong Repub..  {c |}{col 17}{res}{space 2}-.0002638{col 29}{space 2} .3699841{col 40}{space 1}   -0.00{col 49}{space 3}0.999{col 57}{space 4}-.7254194{col 70}{space 3} .7248917
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-12.81222{col 29}{space 2} 427.8517{col 40}{space 1}   -0.03{col 49}{space 3}0.976{col 57}{space 4}-851.3862{col 70}{space 3} 825.7617
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.083461{col 29}{space 2} .5792891{col 40}{space 1}   -3.60{col 49}{space 3}0.000{col 57}{space 4}-3.218847{col 70}{space 3}-.9480752
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6192374{col 29}{space 2} .3162128{col 40}{space 1}    1.96{col 49}{space 3}0.050{col 57}{space 4}-.0005284{col 70}{space 3} 1.239003
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .9204465{col 29}{space 2}  .303204{col 40}{space 1}    3.04{col 49}{space 3}0.002{col 57}{space 4} .3261776{col 70}{space 3} 1.514715
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0087229{col 29}{space 2} .0074114{col 40}{space 1}   -1.18{col 49}{space 3}0.239{col 57}{space 4}-.0232489{col 70}{space 3} .0058031
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.2458978{col 29}{space 2} .2772443{col 40}{space 1}   -0.89{col 49}{space 3}0.375{col 57}{space 4}-.7892867{col 70}{space 3} .2974911
{txt}{space 9}female {c |}{col 17}{res}{space 2} .3143523{col 29}{space 2} .2408079{col 40}{space 1}    1.31{col 49}{space 3}0.192{col 57}{space 4}-.1576225{col 70}{space 3} .7863271
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.2998811{col 29}{space 2}   .25113{col 40}{space 1}   -1.19{col 49}{space 3}0.232{col 57}{space 4}-.7920869{col 70}{space 3} .1923246
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2}-.4409944{col 29}{space 2} .4930831{col 40}{space 1}   -0.89{col 49}{space 3}0.371{col 57}{space 4}-1.407419{col 70}{space 3} .5254307
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.3887366{col 29}{space 2} .4887595{col 40}{space 1}   -0.80{col 49}{space 3}0.426{col 57}{space 4}-1.346688{col 70}{space 3} .5692144
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.5644918{col 29}{space 2} .3958194{col 40}{space 1}   -1.43{col 49}{space 3}0.154{col 57}{space 4}-1.340284{col 70}{space 3} .2112999
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.2044764{col 29}{space 2} .4682611{col 40}{space 1}   -0.44{col 49}{space 3}0.662{col 57}{space 4}-1.122251{col 70}{space 3} .7132986
{txt}Not very str..  {c |}{col 17}{res}{space 2}-.1951472{col 29}{space 2} .4484893{col 40}{space 1}   -0.44{col 49}{space 3}0.663{col 57}{space 4} -1.07417{col 70}{space 3} .6838757
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .3247075{col 29}{space 2} .3431369{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.3478286{col 70}{space 3} .9972435
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .3764911{col 29}{space 2}  .715478{col 40}{space 1}    0.53{col 49}{space 3}0.599{col 57}{space 4} -1.02582{col 70}{space 3} 1.778802
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.664124{col 29}{space 2}  .543195{col 40}{space 1}   -3.06{col 49}{space 3}0.002{col 57}{space 4}-2.728767{col 70}{space 3}-.5994813
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_adj_mlog, title("Adj, Mlogit")
{txt}
{com}. local   subs_adj_mlogN = e(N)
{txt}
{com}. 
. * Coefplot (Figure 6 b)
. 
. coefplot                                                                                                                                                ///
>                         (subs_base_mlog, label(Base)) (subs_adj_mlog, label(Covariates)),       ///
>                                 keep(Intervention_anytime: *subs*) bylabel("Intervention anytime") ///
>                                 legend(pos(12) rows(1) size(small))||   ///
>                         (subs_base_mlog, label(Base)) (subs_adj_mlog, label(Covariates)),       ///
>                                 keep(Post_electoral_intervention: *subs*) bylabel("Post-Election")      ||      ///
>                         (subs_base_mlog, label(Base)) (subs_adj_mlog, label(Covariates)),       ///
>                                 keep(Electoral_intervention: *subs*) bylabel("Pre-Election")    ||      ///
>                         , drop(_cons)   base    omitted                                                                                 ///
>                         ylab(,labsize(vsmall))  xline(0)                                                                        ///
>                                 name(gph_overall, replace)                                                                              ///
>                         byopts(                                                                                                                         ///
>                                 compact rows(1)                                                                                                 ///
>                                 title("{c -(}bf: B) Effects of Treatment on Intervention Support{c )-}", span) ///
>                                 subtitle("{c -(}it:Multinomial Logistic Regression Coefficients Shown; Base Outcome is No Intervention{c )-}", size(vsmall))      ///
>                                 note("2022 CES Substitutability experiment. Base N = `subs_base_mlogN'; Covariates N = `subs_adj_mlogN'." "Full specification for Covariates model includes gender, age, racial ID, college degree, and party ID.", size(vsmall)) ///
>                                 )       ///
>                                 subtitle(, size(small) margin(vsmall) justification(left)                       ///
>                                         color(white) bcolor(gray) bmargin(top_bottom)                           ///
>                                         )                                       
{res}{txt}
{com}. graph display, ysize(4) xsize(6)
{res}{txt}
{com}. 
. ********************
. * Appendix Table A12
. 
. esttab subs_base_mlog subs_adj_mlog                                                                                             ///
>                 using "${c -(}MyProject{c )-}AppendixTableA12.tex"                                                        ///
>                 , replace nobase label  longtable  noomitted                                                    ///
>                 mtitles("Base" "Covariates")                                                                                    ///
>                 title("Substitutability Experiment Results" "\label{c -(}tab:substitutabilitymlogitres{c )-}")
{res}{txt}{p 0 4 2}
(file {bf}
/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA12.tex{rm}
not found)
{p_end}
(output written to {browse  `"~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA12.tex"'})

{com}.                 
.         
. * DYDX (Figure 6 c)
. 
. 
.         est restore subs_adj_mlog
{txt}(results {stata estimates replay subs_adj_mlog:subs_adj_mlog} are active now)

{com}.         margins , atmeans dydx(subs_treatment) post
{res}
{txt}{col 1}Conditional marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:824}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 12 12 2}{...}
{p2col:dy/dx wrt:}{res:1.subs_treatment 3.subs_treatment}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 13 13 2}{...}
{p2col:{txt:1._predict:}}{res:Pr(subs_DV_main==No_intervention), predict(pr outcome(1))}{p_end}
{p2col:{txt:2._predict:}}{res:Pr(subs_DV_main==Intervention_anytime), predict(pr outcome(2))}{p_end}
{p2col:{txt:3._predict:}}{res:Pr(subs_DV_main==Post_electoral_intervention), predict(pr outcome(3))}{p_end}
{p2col:{txt:4._predict:}}{res:Pr(subs_DV_main==Electoral_intervention), predict(pr outcome(4))}{p_end}
{p2colreset}{...}

{lalign 4:At: }{space 0}{lalign 16:1.subs_treatment} = {res:{ralign 8:.3410194}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:2.subs_treatment} = {res:{ralign 8:.3325243}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:3.subs_treatment} = {res:{ralign 8:.3264563}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:age} = {res:{ralign 8:53.05218}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:white} = {res:{ralign 8:.7463592}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:female} = {res:{ralign 8:.5546117}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:college} = {res:{ralign 8:.3919903}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:1.pid7} = {res:{ralign 8:.2730583}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:2.pid7} = {res:{ralign 8:.1019417}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:3.pid7} = {res:{ralign 8:.092233}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:4.pid7} = {res:{ralign 8:.1395631}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:5.pid7} = {res:{ralign 8:.092233}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:6.pid7} = {res:{ralign 8:.0970874}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:7.pid7} = {res:{ralign 8:.1856796}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:8.pid7} = {res:{ralign 8:.0182039}} {txt:(mean)}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.subs_treatm~t {txt}{c |}
{space 7}_predict {c |}
{space 13}1  {c |}{col 17}{res}{space 2}-.1329831{col 29}{space 2} .1608584{col 40}{space 1}   -0.83{col 49}{space 3}0.408{col 57}{space 4}-.4482599{col 70}{space 3} .1822936
{txt}{space 13}2  {c |}{col 17}{res}{space 2} .0541201{col 29}{space 2} .0799054{col 40}{space 1}    0.68{col 49}{space 3}0.498{col 57}{space 4}-.1024915{col 70}{space 3} .2107318
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .0410695{col 29}{space 2} .2786522{col 40}{space 1}    0.15{col 49}{space 3}0.883{col 57}{space 4}-.5050788{col 70}{space 3} .5872179
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .0377935{col 29}{space 2} .0539142{col 40}{space 1}    0.70{col 49}{space 3}0.483{col 57}{space 4}-.0678763{col 70}{space 3} .1434633
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}2.subs_treatm~t{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}3.subs_treatm~t {txt}{c |}
{space 7}_predict {c |}
{space 13}1  {c |}{col 17}{res}{space 2}-.1029596{col 29}{space 2} .1449777{col 40}{space 1}   -0.71{col 49}{space 3}0.478{col 57}{space 4}-.3871107{col 70}{space 3} .1811915
{txt}{space 13}2  {c |}{col 17}{res}{space 2}-.0138935{col 29}{space 2} .0351086{col 40}{space 1}   -0.40{col 49}{space 3}0.692{col 57}{space 4}-.0827051{col 70}{space 3} .0549182
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .0340008{col 29}{space 2} .2327721{col 40}{space 1}    0.15{col 49}{space 3}0.884{col 57}{space 4}-.4222241{col 70}{space 3} .4902256
{txt}{space 13}4  {c |}{col 17}{res}{space 2} .0828523{col 29}{space 2} .0749563{col 40}{space 1}    1.11{col 49}{space 3}0.269{col 57}{space 4}-.0640593{col 70}{space 3} .2297639
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}.         est sto subs_adj_mlog_fx
{txt}
{com}. 
. 
. mylabels -15(5)10, myscale(@/100) local(myla)
{res}{p}               -.15 "-15"                 -.1 "-10"                -.05 "-5"                   0 "0"                 .05 "5"                  .1 "10" 
{txt}
{smcl}
{com}. 
. coefplot (subs_adj_mlog_fx, keep(1.subs_treatment:*) label(Humanitarian))               ///
>                 (subs_adj_mlog_fx, keep(3.subs_treatment:*) label(Economics))                   ///
>                 , recast(bar) vertical barw(0.25)                                                                               ///
>                 noci                                                                                                                                    ///
>                 xlab(1 "No intervention" 2 "Anytime" 3 "Post" 4 "Pre",                                  ///
>                                 labsize(vsmall))                                                                                                ///
>                 title("{c -(}bf:C) Differences in Predicted Outcomes{c )-}", size(medsmall) span)         ///
>                 subtitle("{c -(}it:Base is Leadership Condition{c )-}", size(vsmall) span)                ///
>                 ylab(`myla',labsize(vsmall))                                                                                    ///
>                 name(gph_dydx, replace)                                                                                                 ///
>                 ytitle("Difference between base and treatment", size(vsmall))                   ///
>                 legend(rows(1) ring(2) pos(12)) yline(0)                
{res}{txt}
{com}. 
. 
. ********************
. * Main Paper Figure 6
. 
. graph combine gph_subs_treatment gph_overall gph_dydx, ///
>         rows(3)
{res}{txt}
{com}. graph display, ysize(9) xsize(6)
{res}{txt}
{com}. gr export "${c -(}MyProject{c )-}00 Main Figure 6.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/00 Main Figure 6.pdf{rm}
saved as
PDF
format
{p_end}

{com}.                 
.                 
. * Subgroups
. 
. 
. * Democrats
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female college if pid7 <= 3 

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-427.21056}  
Iteration 1:{space 2}Log likelihood = {res:-401.26643}  
Iteration 2:{space 2}Log likelihood = {res:-400.24733}  
Iteration 3:{space 2}Log likelihood = {res:-400.24261}  
Iteration 4:{space 2}Log likelihood = {res:-400.24261}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:385}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:53.94}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-400.24261}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0631}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .5396813{col 29}{space 2} .3535681{col 40}{space 1}    1.53{col 49}{space 3}0.127{col 57}{space 4}-.1532995{col 70}{space 3} 1.232662
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}-.3340314{col 29}{space 2} .3945074{col 40}{space 1}   -0.85{col 49}{space 3}0.397{col 57}{space 4}-1.107252{col 70}{space 3} .4391889
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0133292{col 29}{space 2} .0091964{col 40}{space 1}   -1.45{col 49}{space 3}0.147{col 57}{space 4}-.0313539{col 70}{space 3} .0046954
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.1679299{col 29}{space 2} .3088639{col 40}{space 1}   -0.54{col 49}{space 3}0.587{col 57}{space 4} -.773292{col 70}{space 3} .4374321
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.356693{col 29}{space 2} .3549751{col 40}{space 1}    3.82{col 49}{space 3}0.000{col 57}{space 4} .6609542{col 70}{space 3} 2.052431
{txt}{space 8}college {c |}{col 17}{res}{space 2}-1.214689{col 29}{space 2} .3181383{col 40}{space 1}   -3.82{col 49}{space 3}0.000{col 57}{space 4}-1.838228{col 70}{space 3} -.591149
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.019007{col 29}{space 2} .6043243{col 40}{space 1}   -1.69{col 49}{space 3}0.092{col 57}{space 4} -2.20346{col 70}{space 3} .1654472
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .5699854{col 29}{space 2}   .41495{col 40}{space 1}    1.37{col 49}{space 3}0.170{col 57}{space 4}-.2433016{col 70}{space 3} 1.383272
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .4943436{col 29}{space 2} .4150844{col 40}{space 1}    1.19{col 49}{space 3}0.234{col 57}{space 4}-.3192068{col 70}{space 3} 1.307894
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0085671{col 29}{space 2} .0098559{col 40}{space 1}   -0.87{col 49}{space 3}0.385{col 57}{space 4}-.0278843{col 70}{space 3} .0107501
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.2988914{col 29}{space 2} .3317742{col 40}{space 1}   -0.90{col 49}{space 3}0.368{col 57}{space 4}-.9491568{col 70}{space 3}  .351374
{txt}{space 9}female {c |}{col 17}{res}{space 2} .8615738{col 29}{space 2} .3501279{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} .1753357{col 70}{space 3} 1.547812
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.1114344{col 29}{space 2} .3186284{col 40}{space 1}   -0.35{col 49}{space 3}0.727{col 57}{space 4}-.7359347{col 70}{space 3} .5130658
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.756939{col 29}{space 2} .6694864{col 40}{space 1}   -2.62{col 49}{space 3}0.009{col 57}{space 4}-3.069108{col 70}{space 3}-.4447697
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2}  .741475{col 29}{space 2} .4644381{col 40}{space 1}    1.60{col 49}{space 3}0.110{col 57}{space 4}-.1688071{col 70}{space 3} 1.651757
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .3585743{col 29}{space 2} .4831877{col 40}{space 1}    0.74{col 49}{space 3}0.458{col 57}{space 4}-.5884562{col 70}{space 3} 1.305605
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0075516{col 29}{space 2} .0111097{col 40}{space 1}   -0.68{col 49}{space 3}0.497{col 57}{space 4}-.0293261{col 70}{space 3} .0142229
{txt}{space 10}white {c |}{col 17}{res}{space 2} -.135036{col 29}{space 2} .3773282{col 40}{space 1}   -0.36{col 49}{space 3}0.720{col 57}{space 4}-.8745857{col 70}{space 3} .6045136
{txt}{space 9}female {c |}{col 17}{res}{space 2} .7102776{col 29}{space 2} .3856487{col 40}{space 1}    1.84{col 49}{space 3}0.066{col 57}{space 4}-.0455799{col 70}{space 3} 1.466135
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.6152774{col 29}{space 2} .3644609{col 40}{space 1}   -1.69{col 49}{space 3}0.091{col 57}{space 4}-1.329608{col 70}{space 3} .0990529
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.887955{col 29}{space 2} .7458416{col 40}{space 1}   -2.53{col 49}{space 3}0.011{col 57}{space 4}-3.349778{col 70}{space 3}-.4261327
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_dem
{txt}
{com}. 
. * Republicans
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female college if pid7 >= 5 & pid7 < 8

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -304.2157}  
Iteration 1:{space 2}Log likelihood = {res:-291.36808}  
Iteration 2:{space 2}Log likelihood = {res:-290.73512}  
Iteration 3:{space 2}Log likelihood = {res:-290.73242}  
Iteration 4:{space 2}Log likelihood = {res:-290.73242}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:309}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:26.97}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0796}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-290.73242}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0443}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .3729414{col 29}{space 2} .3952382{col 40}{space 1}    0.94{col 49}{space 3}0.345{col 57}{space 4}-.4017112{col 70}{space 3} 1.147594
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .0222303{col 29}{space 2} .4348545{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4}-.8300689{col 70}{space 3} .8745295
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} .0068621{col 29}{space 2}  .011178{col 40}{space 1}    0.61{col 49}{space 3}0.539{col 57}{space 4}-.0150463{col 70}{space 3} .0287705
{txt}{space 10}white {c |}{col 17}{res}{space 2} .2723938{col 29}{space 2} .6600788{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-1.021337{col 70}{space 3} 1.566125
{txt}{space 9}female {c |}{col 17}{res}{space 2} .1646237{col 29}{space 2} .3415776{col 40}{space 1}    0.48{col 49}{space 3}0.630{col 57}{space 4}-.5048561{col 70}{space 3} .8341035
{txt}{space 8}college {c |}{col 17}{res}{space 2}-1.307642{col 29}{space 2} .4654279{col 40}{space 1}   -2.81{col 49}{space 3}0.005{col 57}{space 4}-2.219864{col 70}{space 3}  -.39542
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.088998{col 29}{space 2} .8877604{col 40}{space 1}   -2.35{col 49}{space 3}0.019{col 57}{space 4}-3.828977{col 70}{space 3}-.3490196
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .9512678{col 29}{space 2}  .551926{col 40}{space 1}    1.72{col 49}{space 3}0.085{col 57}{space 4}-.1304873{col 70}{space 3} 2.033023
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .5664261{col 29}{space 2} .6105733{col 40}{space 1}    0.93{col 49}{space 3}0.354{col 57}{space 4}-.6302757{col 70}{space 3} 1.763128
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} -.013174{col 29}{space 2} .0143975{col 40}{space 1}   -0.92{col 49}{space 3}0.360{col 57}{space 4}-.0413926{col 70}{space 3} .0150445
{txt}{space 10}white {c |}{col 17}{res}{space 2} 1.033108{col 29}{space 2} 1.063932{col 40}{space 1}    0.97{col 49}{space 3}0.332{col 57}{space 4} -1.05216{col 70}{space 3} 3.118377
{txt}{space 9}female {c |}{col 17}{res}{space 2} .7335866{col 29}{space 2} .4721698{col 40}{space 1}    1.55{col 49}{space 3}0.120{col 57}{space 4}-.1918492{col 70}{space 3} 1.659022
{txt}{space 8}college {c |}{col 17}{res}{space 2} .2667307{col 29}{space 2} .4672079{col 40}{space 1}    0.57{col 49}{space 3}0.568{col 57}{space 4}-.6489799{col 70}{space 3} 1.182441
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.472586{col 29}{space 2} 1.337457{col 40}{space 1}   -2.60{col 49}{space 3}0.009{col 57}{space 4}-6.093953{col 70}{space 3}-.8512187
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6400636{col 29}{space 2} .4834175{col 40}{space 1}    1.32{col 49}{space 3}0.185{col 57}{space 4}-.3074172{col 70}{space 3} 1.587544
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}  1.03882{col 29}{space 2} .4533146{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4} .1503397{col 70}{space 3}   1.9273
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0097956{col 29}{space 2} .0111998{col 40}{space 1}   -0.87{col 49}{space 3}0.382{col 57}{space 4}-.0317468{col 70}{space 3} .0121557
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.1483738{col 29}{space 2} .5477278{col 40}{space 1}   -0.27{col 49}{space 3}0.786{col 57}{space 4}-1.221901{col 70}{space 3}  .925153
{txt}{space 9}female {c |}{col 17}{res}{space 2} .1385557{col 29}{space 2} .3702012{col 40}{space 1}    0.37{col 49}{space 3}0.708{col 57}{space 4}-.5870253{col 70}{space 3} .8641367
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.1349985{col 29}{space 2}  .388564{col 40}{space 1}   -0.35{col 49}{space 3}0.728{col 57}{space 4}  -.89657{col 70}{space 3} .6265729
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.652226{col 29}{space 2} .8325777{col 40}{space 1}   -1.98{col 49}{space 3}0.047{col 57}{space 4}-3.284048{col 70}{space 3}-.0204034
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_gop
{txt}
{com}. 
. 
. * Women
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white  college i.pid3 if female == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-514.47835}  
Iteration 1:{space 2}Log likelihood = {res:-484.68032}  
Iteration 2:{space 2}Log likelihood = {res:-482.60272}  
Iteration 3:{space 2}Log likelihood = {res:-482.24045}  
Iteration 4:{space 2}Log likelihood = {res:-482.15282}  
Iteration 5:{space 2}Log likelihood = {res:-482.13359}  
Iteration 6:{space 2}Log likelihood = {res:-482.12933}  
Iteration 7:{space 2}Log likelihood = {res:-482.12859}  
Iteration 8:{space 2}Log likelihood = {res:-482.12852}  
Iteration 9:{space 2}Log likelihood = {res: -482.1285}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:457}
{txt}{col 57}{lalign 13:LR chi2({res:27})}{col 70} = {res}{ralign 6:64.70}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0001}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-482.1285}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0629}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6078328{col 29}{space 2} .3116539{col 40}{space 1}    1.95{col 49}{space 3}0.051{col 57}{space 4}-.0029978{col 70}{space 3} 1.218663
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .0311887{col 29}{space 2} .3497589{col 40}{space 1}    0.09{col 49}{space 3}0.929{col 57}{space 4}-.6543261{col 70}{space 3} .7167036
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0118884{col 29}{space 2} .0082119{col 40}{space 1}   -1.45{col 49}{space 3}0.148{col 57}{space 4}-.0279835{col 70}{space 3} .0042067
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.0969735{col 29}{space 2} .3044454{col 40}{space 1}   -0.32{col 49}{space 3}0.750{col 57}{space 4}-.6936755{col 70}{space 3} .4997286
{txt}{space 8}college {c |}{col 17}{res}{space 2}-1.237181{col 29}{space 2} .3111228{col 40}{space 1}   -3.98{col 49}{space 3}0.000{col 57}{space 4}-1.846971{col 70}{space 3}-.6273919
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.7207533{col 29}{space 2} .3536489{col 40}{space 1}   -2.04{col 49}{space 3}0.042{col 57}{space 4}-1.413892{col 70}{space 3}-.0276141
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.4528793{col 29}{space 2} .3401718{col 40}{space 1}   -1.33{col 49}{space 3}0.183{col 57}{space 4}-1.119604{col 70}{space 3} .2138453
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-1.882555{col 29}{space 2} 1.066131{col 40}{space 1}   -1.77{col 49}{space 3}0.077{col 57}{space 4}-3.972134{col 70}{space 3} .2070228
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.9179915{col 29}{space 2} .6259915{col 40}{space 1}   -1.47{col 49}{space 3}0.143{col 57}{space 4}-2.144912{col 70}{space 3} .3089293
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  .016493{col 29}{space 2} .5056893{col 40}{space 1}    0.03{col 49}{space 3}0.974{col 57}{space 4}-.9746397{col 70}{space 3} 1.007626
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} 1.021455{col 29}{space 2}  .407475{col 40}{space 1}    2.51{col 49}{space 3}0.012{col 57}{space 4} .2228191{col 70}{space 3} 1.820092
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .9416702{col 29}{space 2} .4209186{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4} .1166849{col 70}{space 3} 1.766655
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0145819{col 29}{space 2} .0093494{col 40}{space 1}   -1.56{col 49}{space 3}0.119{col 57}{space 4}-.0329065{col 70}{space 3} .0037426
{txt}{space 10}white {c |}{col 17}{res}{space 2} .1491697{col 29}{space 2}  .361766{col 40}{space 1}    0.41{col 49}{space 3}0.680{col 57}{space 4}-.5598786{col 70}{space 3} .8582181
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.1880497{col 29}{space 2} .3142744{col 40}{space 1}   -0.60{col 49}{space 3}0.550{col 57}{space 4}-.8040161{col 70}{space 3} .4279167
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.4934576{col 29}{space 2}   .39138{col 40}{space 1}   -1.26{col 49}{space 3}0.207{col 57}{space 4}-1.260548{col 70}{space 3} .2736332
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.6682864{col 29}{space 2} .4044628{col 40}{space 1}   -1.65{col 49}{space 3}0.098{col 57}{space 4}-1.461019{col 70}{space 3} .1244462
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-14.90042{col 29}{space 2} 786.7189{col 40}{space 1}   -0.02{col 49}{space 3}0.985{col 57}{space 4}-1556.841{col 70}{space 3}  1527.04
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-14.95373{col 29}{space 2} 727.6668{col 40}{space 1}   -0.02{col 49}{space 3}0.984{col 57}{space 4}-1441.154{col 70}{space 3} 1411.247
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.165708{col 29}{space 2} .6216134{col 40}{space 1}   -1.88{col 49}{space 3}0.061{col 57}{space 4}-2.384048{col 70}{space 3} .0526317
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .4882792{col 29}{space 2} .4218024{col 40}{space 1}    1.16{col 49}{space 3}0.247{col 57}{space 4}-.3384383{col 70}{space 3} 1.314997
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}  .984221{col 29}{space 2}  .399659{col 40}{space 1}    2.46{col 49}{space 3}0.014{col 57}{space 4} .2009037{col 70}{space 3} 1.767538
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0003552{col 29}{space 2} .0098864{col 40}{space 1}   -0.04{col 49}{space 3}0.971{col 57}{space 4}-.0197321{col 70}{space 3} .0190218
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.1968637{col 29}{space 2}  .366505{col 40}{space 1}   -0.54{col 49}{space 3}0.591{col 57}{space 4}-.9152003{col 70}{space 3} .5214728
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.3874457{col 29}{space 2}  .337141{col 40}{space 1}   -1.15{col 49}{space 3}0.250{col 57}{space 4} -1.04823{col 70}{space 3} .2733385
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.0161243{col 29}{space 2} .4054495{col 40}{space 1}   -0.04{col 49}{space 3}0.968{col 57}{space 4}-.8107908{col 70}{space 3} .7785422
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.4433135{col 29}{space 2} .4502012{col 40}{space 1}   -0.98{col 49}{space 3}0.325{col 57}{space 4}-1.325692{col 70}{space 3} .4390646
{txt}{space 9}Other  {c |}{col 17}{res}{space 2} .3135628{col 29}{space 2} .6316254{col 40}{space 1}    0.50{col 49}{space 3}0.620{col 57}{space 4}-.9244003{col 70}{space 3} 1.551526
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.0933114{col 29}{space 2} .7206858{col 40}{space 1}   -0.13{col 49}{space 3}0.897{col 57}{space 4} -1.50583{col 70}{space 3} 1.319207
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.801353{col 29}{space 2} .6574946{col 40}{space 1}   -2.74{col 49}{space 3}0.006{col 57}{space 4}-3.090019{col 70}{space 3}-.5126877
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_fem
{txt}
{com}. 
. * Men
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white  college i.pid3 if female == 0

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-318.34183}  
Iteration 1:{space 2}Log likelihood = {res:-302.54855}  
Iteration 2:{space 2}Log likelihood = {res:-301.11582}  
Iteration 3:{space 2}Log likelihood = {res:-300.95515}  
Iteration 4:{space 2}Log likelihood = {res:-300.92888}  
Iteration 5:{space 2}Log likelihood = {res:-300.92263}  
Iteration 6:{space 2}Log likelihood = {res:-300.92128}  
Iteration 7:{space 2}Log likelihood = {res:-300.92099}  
Iteration 8:{space 2}Log likelihood = {res:-300.92093}  
Iteration 9:{space 2}Log likelihood = {res:-300.92092}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:367}
{txt}{col 57}{lalign 13:LR chi2({res:27})}{col 70} = {res}{ralign 6:34.84}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.1429}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-300.92092}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0547}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .4196409{col 29}{space 2} .4160143{col 40}{space 1}    1.01{col 49}{space 3}0.313{col 57}{space 4}-.3957321{col 70}{space 3} 1.235014
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}-.1871673{col 29}{space 2} .4548238{col 40}{space 1}   -0.41{col 49}{space 3}0.681{col 57}{space 4}-1.078606{col 70}{space 3} .7042711
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}  .014381{col 29}{space 2} .0120446{col 40}{space 1}    1.19{col 49}{space 3}0.232{col 57}{space 4} -.009226{col 70}{space 3}  .037988
{txt}{space 10}white {c |}{col 17}{res}{space 2} -.101182{col 29}{space 2} .4521764{col 40}{space 1}   -0.22{col 49}{space 3}0.823{col 57}{space 4}-.9874313{col 70}{space 3} .7850674
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.6597811{col 29}{space 2} .3952284{col 40}{space 1}   -1.67{col 49}{space 3}0.095{col 57}{space 4}-1.434415{col 70}{space 3} .1148523
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .4688806{col 29}{space 2} .4659199{col 40}{space 1}    1.01{col 49}{space 3}0.314{col 57}{space 4}-.4443056{col 70}{space 3} 1.382067
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.0743531{col 29}{space 2} .4898487{col 40}{space 1}   -0.15{col 49}{space 3}0.879{col 57}{space 4}-1.034439{col 70}{space 3} .8857327
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-.3378313{col 29}{space 2} 1.101059{col 40}{space 1}   -0.31{col 49}{space 3}0.759{col 57}{space 4}-2.495868{col 70}{space 3} 1.820206
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} 1.375655{col 29}{space 2} .9341144{col 40}{space 1}    1.47{col 49}{space 3}0.141{col 57}{space 4}-.4551754{col 70}{space 3} 3.206486
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.737926{col 29}{space 2} .8185271{col 40}{space 1}   -3.34{col 49}{space 3}0.001{col 57}{space 4} -4.34221{col 70}{space 3}-1.133642
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2}  .488046{col 29}{space 2} .5513631{col 40}{space 1}    0.89{col 49}{space 3}0.376{col 57}{space 4}-.5926059{col 70}{space 3} 1.568698
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .3271127{col 29}{space 2} .5485349{col 40}{space 1}    0.60{col 49}{space 3}0.551{col 57}{space 4} -.747996{col 70}{space 3} 1.402221
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0090268{col 29}{space 2}  .013628{col 40}{space 1}   -0.66{col 49}{space 3}0.508{col 57}{space 4}-.0357371{col 70}{space 3} .0176836
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.4219561{col 29}{space 2} .4991762{col 40}{space 1}   -0.85{col 49}{space 3}0.398{col 57}{space 4}-1.400323{col 70}{space 3} .5564113
{txt}{space 8}college {c |}{col 17}{res}{space 2} .6625278{col 29}{space 2} .4490183{col 40}{space 1}    1.48{col 49}{space 3}0.140{col 57}{space 4}-.2175319{col 70}{space 3} 1.542588
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} -.347915{col 29}{space 2} .5179273{col 40}{space 1}   -0.67{col 49}{space 3}0.502{col 57}{space 4}-1.363034{col 70}{space 3} .6672038
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-1.289865{col 29}{space 2} .6018316{col 40}{space 1}   -2.14{col 49}{space 3}0.032{col 57}{space 4}-2.469433{col 70}{space 3}-.1102967
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-13.99824{col 29}{space 2} 722.3755{col 40}{space 1}   -0.02{col 49}{space 3}0.985{col 57}{space 4}-1429.828{col 70}{space 3} 1401.832
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-13.91368{col 29}{space 2} 1115.613{col 40}{space 1}   -0.01{col 49}{space 3}0.990{col 57}{space 4}-2200.475{col 70}{space 3} 2172.648
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} -1.71808{col 29}{space 2} .8771403{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-3.437243{col 70}{space 3} .0010839
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .9267947{col 29}{space 2} .4777377{col 40}{space 1}    1.94{col 49}{space 3}0.052{col 57}{space 4}-.0095539{col 70}{space 3} 1.863143
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .7547518{col 29}{space 2} .4706251{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4}-.1676564{col 70}{space 3}  1.67716
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0155341{col 29}{space 2} .0111984{col 40}{space 1}   -1.39{col 49}{space 3}0.165{col 57}{space 4}-.0374826{col 70}{space 3} .0064144
{txt}{space 10}white {c |}{col 17}{res}{space 2} -.230076{col 29}{space 2} .4210145{col 40}{space 1}   -0.55{col 49}{space 3}0.585{col 57}{space 4}-1.055249{col 70}{space 3} .5950973
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.2128706{col 29}{space 2} .3757454{col 40}{space 1}   -0.57{col 49}{space 3}0.571{col 57}{space 4}-.9493181{col 70}{space 3}  .523577
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .5411573{col 29}{space 2} .4579332{col 40}{space 1}    1.18{col 49}{space 3}0.237{col 57}{space 4}-.3563752{col 70}{space 3}  1.43869
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.4502561{col 29}{space 2} .5034891{col 40}{space 1}   -0.89{col 49}{space 3}0.371{col 57}{space 4}-1.437077{col 70}{space 3} .5365645
{txt}{space 9}Other  {c |}{col 17}{res}{space 2} .2120559{col 29}{space 2} .8377542{col 40}{space 1}    0.25{col 49}{space 3}0.800{col 57}{space 4}-1.429912{col 70}{space 3} 1.854024
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .8027471{col 29}{space 2}  .926253{col 40}{space 1}    0.87{col 49}{space 3}0.386{col 57}{space 4}-1.012675{col 70}{space 3}  2.61817
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.592519{col 29}{space 2} .7449815{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4}-3.052656{col 70}{space 3}-.1323823
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_male
{txt}
{com}. 
. 
. * College
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female i.pid3 if college  == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-297.23188}  
Iteration 1:{space 2}Log likelihood = {res:-281.13756}  
Iteration 2:{space 2}Log likelihood = {res:-279.54703}  
Iteration 3:{space 2}Log likelihood = {res:-279.28732}  
Iteration 4:{space 2}Log likelihood = {res:-279.26196}  
Iteration 5:{space 2}Log likelihood = {res:-279.25766}  
Iteration 6:{space 2}Log likelihood = {res:-279.25695}  
Iteration 7:{space 2}Log likelihood = {res:-279.25678}  
Iteration 8:{space 2}Log likelihood = {res:-279.25674}  
Iteration 9:{space 2}Log likelihood = {res:-279.25673}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:323}
{txt}{col 57}{lalign 13:LR chi2({res:27})}{col 70} = {res}{ralign 6:35.95}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.1164}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-279.25673}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0605}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .9838732{col 29}{space 2} .5332964{col 40}{space 1}    1.84{col 49}{space 3}0.065{col 57}{space 4}-.0613685{col 70}{space 3} 2.029115
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}  .775135{col 29}{space 2} .5621202{col 40}{space 1}    1.38{col 49}{space 3}0.168{col 57}{space 4}-.3266004{col 70}{space 3}  1.87687
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0003611{col 29}{space 2} .0132639{col 40}{space 1}   -0.03{col 49}{space 3}0.978{col 57}{space 4}-.0263578{col 70}{space 3} .0256356
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.5787815{col 29}{space 2} .4421764{col 40}{space 1}   -1.31{col 49}{space 3}0.191{col 57}{space 4}-1.445431{col 70}{space 3} .2878682
{txt}{space 9}female {c |}{col 17}{res}{space 2} .4059308{col 29}{space 2} .4412013{col 40}{space 1}    0.92{col 49}{space 3}0.358{col 57}{space 4}-.4588078{col 70}{space 3} 1.270669
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.0340252{col 29}{space 2} .5797207{col 40}{space 1}   -0.06{col 49}{space 3}0.953{col 57}{space 4}-1.170257{col 70}{space 3} 1.102206
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.2114988{col 29}{space 2} .5067805{col 40}{space 1}   -0.42{col 49}{space 3}0.676{col 57}{space 4} -1.20477{col 70}{space 3} .7817726
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-.6266441{col 29}{space 2} 1.093173{col 40}{space 1}   -0.57{col 49}{space 3}0.566{col 57}{space 4}-2.769224{col 70}{space 3} 1.515936
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-14.59316{col 29}{space 2} 2243.693{col 40}{space 1}   -0.01{col 49}{space 3}0.995{col 57}{space 4} -4412.15{col 70}{space 3} 4382.964
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.451855{col 29}{space 2} .9559503{col 40}{space 1}   -2.56{col 49}{space 3}0.010{col 57}{space 4}-4.325484{col 70}{space 3}-.5782272
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} 1.150345{col 29}{space 2}  .492598{col 40}{space 1}    2.34{col 49}{space 3}0.020{col 57}{space 4} .1848709{col 70}{space 3}  2.11582
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}  .997444{col 29}{space 2} .5032002{col 40}{space 1}    1.98{col 49}{space 3}0.047{col 57}{space 4} .0111897{col 70}{space 3} 1.983698
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} -.011274{col 29}{space 2} .0113357{col 40}{space 1}   -0.99{col 49}{space 3}0.320{col 57}{space 4}-.0334916{col 70}{space 3} .0109435
{txt}{space 10}white {c |}{col 17}{res}{space 2} .7680325{col 29}{space 2} .5212718{col 40}{space 1}    1.47{col 49}{space 3}0.141{col 57}{space 4}-.2536415{col 70}{space 3} 1.789706
{txt}{space 9}female {c |}{col 17}{res}{space 2} .5053599{col 29}{space 2} .3876968{col 40}{space 1}    1.30{col 49}{space 3}0.192{col 57}{space 4}-.2545119{col 70}{space 3} 1.265232
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .0195189{col 29}{space 2} .4821857{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-.9255476{col 70}{space 3} .9645855
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.3688483{col 29}{space 2} .4486661{col 40}{space 1}   -0.82{col 49}{space 3}0.411{col 57}{space 4}-1.248218{col 70}{space 3} .5105212
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-14.30636{col 29}{space 2} 829.9999{col 40}{space 1}   -0.02{col 49}{space 3}0.986{col 57}{space 4}-1641.076{col 70}{space 3} 1612.464
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-14.78848{col 29}{space 2} 1970.811{col 40}{space 1}   -0.01{col 49}{space 3}0.994{col 57}{space 4}-3877.508{col 70}{space 3} 3847.931
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.738713{col 29}{space 2}   .88475{col 40}{space 1}   -3.10{col 49}{space 3}0.002{col 57}{space 4}-4.472791{col 70}{space 3}-1.004635
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} 1.122487{col 29}{space 2} .5349324{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4} .0740389{col 70}{space 3} 2.170935
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}  .965315{col 29}{space 2} .5467258{col 40}{space 1}    1.77{col 49}{space 3}0.077{col 57}{space 4} -.106248{col 70}{space 3} 2.036878
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0158095{col 29}{space 2} .0127247{col 40}{space 1}   -1.24{col 49}{space 3}0.214{col 57}{space 4}-.0407494{col 70}{space 3} .0091304
{txt}{space 10}white {c |}{col 17}{res}{space 2} .8324059{col 29}{space 2} .5724288{col 40}{space 1}    1.45{col 49}{space 3}0.146{col 57}{space 4}-.2895339{col 70}{space 3} 1.954346
{txt}{space 9}female {c |}{col 17}{res}{space 2} .2552735{col 29}{space 2} .4128524{col 40}{space 1}    0.62{col 49}{space 3}0.536{col 57}{space 4}-.5539022{col 70}{space 3} 1.064449
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .4988195{col 29}{space 2}  .519168{col 40}{space 1}    0.96{col 49}{space 3}0.337{col 57}{space 4}-.5187311{col 70}{space 3}  1.51637
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.3115562{col 29}{space 2} .5402808{col 40}{space 1}   -0.58{col 49}{space 3}0.564{col 57}{space 4}-1.370487{col 70}{space 3} .7473747
{txt}{space 9}Other  {c |}{col 17}{res}{space 2} .7001604{col 29}{space 2} .7333059{col 40}{space 1}    0.95{col 49}{space 3}0.340{col 57}{space 4}-.7370927{col 70}{space 3} 2.137413
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .7613042{col 29}{space 2} 1.279724{col 40}{space 1}    0.59{col 49}{space 3}0.552{col 57}{space 4}-1.746908{col 70}{space 3} 3.269516
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.875638{col 29}{space 2} .9851129{col 40}{space 1}   -2.92{col 49}{space 3}0.004{col 57}{space 4}-4.806423{col 70}{space 3}-.9448518
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_college
{txt}
{com}. 
. * No College
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female college i.pid3 if college == 0

{txt}note: {bf:college} omitted because of collinearity.
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-536.81987}  
Iteration 1:{space 2}Log likelihood = {res: -504.3152}  
Iteration 2:{space 2}Log likelihood = {res:-501.88998}  
Iteration 3:{space 2}Log likelihood = {res:-501.56137}  
Iteration 4:{space 2}Log likelihood = {res: -501.4858}  
Iteration 5:{space 2}Log likelihood = {res:-501.46747}  
Iteration 6:{space 2}Log likelihood = {res:-501.46371}  
Iteration 7:{space 2}Log likelihood = {res:-501.46292}  
Iteration 8:{space 2}Log likelihood = {res:-501.46274}  
Iteration 9:{space 2}Log likelihood = {res:-501.46269}  
Iteration 10:{space 1}Log likelihood = {res:-501.46268}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:501}
{txt}{col 57}{lalign 13:LR chi2({res:27})}{col 70} = {res}{ralign 6:70.71}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-501.46268}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0659}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .3751754{col 29}{space 2} .2844543{col 40}{space 1}    1.32{col 49}{space 3}0.187{col 57}{space 4}-.1823448{col 70}{space 3} .9326956
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}-.3207628{col 29}{space 2}  .321149{col 40}{space 1}   -1.00{col 49}{space 3}0.318{col 57}{space 4}-.9502032{col 70}{space 3} .3086776
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0039373{col 29}{space 2} .0077337{col 40}{space 1}   -0.51{col 49}{space 3}0.611{col 57}{space 4} -.019095{col 70}{space 3} .0112205
{txt}{space 10}white {c |}{col 17}{res}{space 2} -.062166{col 29}{space 2}  .302152{col 40}{space 1}   -0.21{col 49}{space 3}0.837{col 57}{space 4} -.654373{col 70}{space 3}  .530041
{txt}{space 9}female {c |}{col 17}{res}{space 2}  .825737{col 29}{space 2} .2595108{col 40}{space 1}    3.18{col 49}{space 3}0.001{col 57}{space 4} .3171052{col 70}{space 3} 1.334369
{txt}{space 8}college {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.3914125{col 29}{space 2} .3106665{col 40}{space 1}   -1.26{col 49}{space 3}0.208{col 57}{space 4}-1.000308{col 70}{space 3} .2174826
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.5428641{col 29}{space 2} .3221104{col 40}{space 1}   -1.69{col 49}{space 3}0.092{col 57}{space 4}-1.174189{col 70}{space 3} .0884606
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-1.889942{col 29}{space 2} 1.061447{col 40}{space 1}   -1.78{col 49}{space 3}0.075{col 57}{space 4}-3.970339{col 70}{space 3} .1904553
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.2506873{col 29}{space 2} .5435142{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-1.315956{col 70}{space 3}  .814581
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.147975{col 29}{space 2} .5146329{col 40}{space 1}   -2.23{col 49}{space 3}0.026{col 57}{space 4}-2.156637{col 70}{space 3}-.1393127
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .5736735{col 29}{space 2}  .437319{col 40}{space 1}    1.31{col 49}{space 3}0.190{col 57}{space 4}-.2834559{col 70}{space 3} 1.430803
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .3732614{col 29}{space 2} .4482811{col 40}{space 1}    0.83{col 49}{space 3}0.405{col 57}{space 4}-.5053534{col 70}{space 3} 1.251876
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0118958{col 29}{space 2} .0107309{col 40}{space 1}   -1.11{col 49}{space 3}0.268{col 57}{space 4}-.0329281{col 70}{space 3} .0091365
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.5322506{col 29}{space 2}  .394241{col 40}{space 1}   -1.35{col 49}{space 3}0.177{col 57}{space 4}-1.304949{col 70}{space 3} .2404476
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.074338{col 29}{space 2}  .390012{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} .3099283{col 70}{space 3} 1.838747
{txt}{space 8}college {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.5386181{col 29}{space 2} .4164294{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4}-1.354805{col 70}{space 3} .2775685
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-1.457587{col 29}{space 2} .5249815{col 40}{space 1}   -2.78{col 49}{space 3}0.005{col 57}{space 4}-2.486532{col 70}{space 3}-.4286421
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-15.58199{col 29}{space 2} 1219.527{col 40}{space 1}   -0.01{col 49}{space 3}0.990{col 57}{space 4}-2405.811{col 70}{space 3} 2374.647
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-15.64302{col 29}{space 2} 1050.266{col 40}{space 1}   -0.01{col 49}{space 3}0.988{col 57}{space 4}-2074.126{col 70}{space 3}  2042.84
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.415688{col 29}{space 2} .7039562{col 40}{space 1}   -2.01{col 49}{space 3}0.044{col 57}{space 4}-2.795417{col 70}{space 3}-.0359596
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .3739963{col 29}{space 2} .4001089{col 40}{space 1}    0.93{col 49}{space 3}0.350{col 57}{space 4}-.4102026{col 70}{space 3} 1.158195
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .7859883{col 29}{space 2} .3693131{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4} .0621479{col 70}{space 3} 1.509829
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} .0003259{col 29}{space 2} .0093471{col 40}{space 1}    0.03{col 49}{space 3}0.972{col 57}{space 4}-.0179941{col 70}{space 3} .0186459
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.7008335{col 29}{space 2} .3427873{col 40}{space 1}   -2.04{col 49}{space 3}0.041{col 57}{space 4}-1.372684{col 70}{space 3}-.0289827
{txt}{space 9}female {c |}{col 17}{res}{space 2}  .324098{col 29}{space 2}  .299607{col 40}{space 1}    1.08{col 49}{space 3}0.279{col 57}{space 4}-.2631209{col 70}{space 3} .9113169
{txt}{space 8}college {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .2090063{col 29}{space 2} .3765634{col 40}{space 1}    0.56{col 49}{space 3}0.579{col 57}{space 4}-.5290443{col 70}{space 3} .9470569
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.5792066{col 29}{space 2} .4269051{col 40}{space 1}   -1.36{col 49}{space 3}0.175{col 57}{space 4}-1.415925{col 70}{space 3}  .257512
{txt}{space 9}Other  {c |}{col 17}{res}{space 2} .0354661{col 29}{space 2} .6980699{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4}-1.332726{col 70}{space 3} 1.403658
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .1010068{col 29}{space 2} .6404761{col 40}{space 1}    0.16{col 49}{space 3}0.875{col 57}{space 4}-1.154303{col 70}{space 3} 1.356317
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-1.745165{col 29}{space 2} .6298743{col 40}{space 1}   -2.77{col 49}{space 3}0.006{col 57}{space 4}-2.979696{col 70}{space 3}-.5106339
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_nocoll
{txt}
{com}. 
. * News interest
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female i.pid3 college if newsint_num  == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-397.39352}  
Iteration 1:{space 2}Log likelihood = {res:-373.87152}  
Iteration 2:{space 2}Log likelihood = {res: -373.4064}  
Iteration 3:{space 2}Log likelihood = {res:-371.48292}  
Iteration 4:{space 2}Log likelihood = {res:-370.95313}  
Iteration 5:{space 2}Log likelihood = {res:-369.68696}  
Iteration 6:{space 2}Log likelihood = {res:-369.65038}  
Iteration 7:{space 2}Log likelihood = {res:-369.64607}  
Iteration 8:{space 2}Log likelihood = {res:-369.64517}  
Iteration 9:{space 2}Log likelihood = {res:-369.64498}  
Iteration 10:{space 1}Log likelihood = {res:-369.64494}  
Iteration 11:{space 1}Log likelihood = {res:-369.64493}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:430}
{txt}{col 57}{lalign 13:LR chi2({res:30})}{col 70} = {res}{ralign 6:55.50}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0031}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-369.64493}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0698}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .7165234{col 29}{space 2} .4091716{col 40}{space 1}    1.75{col 49}{space 3}0.080{col 57}{space 4}-.0854382{col 70}{space 3} 1.518485
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .4343381{col 29}{space 2} .4350851{col 40}{space 1}    1.00{col 49}{space 3}0.318{col 57}{space 4} -.418413{col 70}{space 3} 1.287089
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} .0076344{col 29}{space 2} .0112076{col 40}{space 1}    0.68{col 49}{space 3}0.496{col 57}{space 4}-.0143322{col 70}{space 3}  .029601
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.3919015{col 29}{space 2} .3698609{col 40}{space 1}   -1.06{col 49}{space 3}0.289{col 57}{space 4}-1.116815{col 70}{space 3} .3330126
{txt}{space 9}female {c |}{col 17}{res}{space 2} .6133169{col 29}{space 2} .3268761{col 40}{space 1}    1.88{col 49}{space 3}0.061{col 57}{space 4}-.0273485{col 70}{space 3} 1.253982
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.4208975{col 29}{space 2} .4110955{col 40}{space 1}   -1.02{col 49}{space 3}0.306{col 57}{space 4} -1.22663{col 70}{space 3} .3848348
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.3049671{col 29}{space 2} .4090311{col 40}{space 1}   -0.75{col 49}{space 3}0.456{col 57}{space 4}-1.106653{col 70}{space 3} .4967191
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-.3913696{col 29}{space 2} .7965071{col 40}{space 1}   -0.49{col 49}{space 3}0.623{col 57}{space 4}-1.952495{col 70}{space 3} 1.169756
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} 1.907695{col 29}{space 2} 1.039838{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4} -.130351{col 70}{space 3} 3.945741
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2}-.7274738{col 29}{space 2} .3351141{col 40}{space 1}   -2.17{col 49}{space 3}0.030{col 57}{space 4}-1.384285{col 70}{space 3}-.0706623
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.223678{col 29}{space 2} .8193909{col 40}{space 1}   -2.71{col 49}{space 3}0.007{col 57}{space 4}-3.829655{col 70}{space 3}-.6177016
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .5721836{col 29}{space 2} .4479206{col 40}{space 1}    1.28{col 49}{space 3}0.201{col 57}{space 4}-.3057246{col 70}{space 3} 1.450092
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .3255367{col 29}{space 2} .4833882{col 40}{space 1}    0.67{col 49}{space 3}0.501{col 57}{space 4}-.6218869{col 70}{space 3}  1.27296
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0149677{col 29}{space 2} .0115823{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4}-.0376687{col 70}{space 3} .0077332
{txt}{space 10}white {c |}{col 17}{res}{space 2} .6042637{col 29}{space 2} .5147684{col 40}{space 1}    1.17{col 49}{space 3}0.240{col 57}{space 4}-.4046639{col 70}{space 3} 1.613191
{txt}{space 9}female {c |}{col 17}{res}{space 2} .5451204{col 29}{space 2}  .364201{col 40}{space 1}    1.50{col 49}{space 3}0.134{col 57}{space 4}-.1687005{col 70}{space 3} 1.258941
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.5562709{col 29}{space 2}  .462837{col 40}{space 1}   -1.20{col 49}{space 3}0.229{col 57}{space 4}-1.463415{col 70}{space 3}  .350873
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.6462287{col 29}{space 2} .4465748{col 40}{space 1}   -1.45{col 49}{space 3}0.148{col 57}{space 4}-1.521499{col 70}{space 3} .2290418
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-14.52008{col 29}{space 2} 730.1167{col 40}{space 1}   -0.02{col 49}{space 3}0.984{col 57}{space 4}-1445.523{col 70}{space 3} 1416.482
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} -19.9807{col 29}{space 2} 41981.26{col 40}{space 1}   -0.00{col 49}{space 3}1.000{col 57}{space 4}-82301.73{col 70}{space 3} 82261.77
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2} .6558693{col 29}{space 2} .3828288{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.0944614{col 70}{space 3}   1.4062
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -2.35176{col 29}{space 2} .9092582{col 40}{space 1}   -2.59{col 49}{space 3}0.010{col 57}{space 4}-4.133873{col 70}{space 3}-.5696465
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2}   .86798{col 29}{space 2} .4868605{col 40}{space 1}    1.78{col 49}{space 3}0.075{col 57}{space 4}-.0862491{col 70}{space 3} 1.822209
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} 1.071681{col 29}{space 2} .4815539{col 40}{space 1}    2.23{col 49}{space 3}0.026{col 57}{space 4} .1278522{col 70}{space 3} 2.015509
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0073403{col 29}{space 2} .0115814{col 40}{space 1}   -0.63{col 49}{space 3}0.526{col 57}{space 4}-.0300394{col 70}{space 3} .0153589
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.2273208{col 29}{space 2} .4237916{col 40}{space 1}   -0.54{col 49}{space 3}0.592{col 57}{space 4}-1.057937{col 70}{space 3} .6032953
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.1237758{col 29}{space 2} .3581617{col 40}{space 1}   -0.35{col 49}{space 3}0.730{col 57}{space 4}-.8257598{col 70}{space 3} .5782083
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .3334849{col 29}{space 2} .4222448{col 40}{space 1}    0.79{col 49}{space 3}0.430{col 57}{space 4}-.4940997{col 70}{space 3} 1.161069
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.5924821{col 29}{space 2} .5157791{col 40}{space 1}   -1.15{col 49}{space 3}0.251{col 57}{space 4}-1.603391{col 70}{space 3} .4184264
{txt}{space 9}Other  {c |}{col 17}{res}{space 2} .2487146{col 29}{space 2} .6970762{col 40}{space 1}    0.36{col 49}{space 3}0.721{col 57}{space 4} -1.11753{col 70}{space 3} 1.614959
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-20.24984{col 29}{space 2} 48059.45{col 40}{space 1}   -0.00{col 49}{space 3}1.000{col 57}{space 4}-94215.04{col 70}{space 3} 94174.54
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2}-.3016355{col 29}{space 2} .3622944{col 40}{space 1}   -0.83{col 49}{space 3}0.405{col 57}{space 4}-1.011719{col 70}{space 3} .4084484
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -1.99166{col 29}{space 2} .8624162{col 40}{space 1}   -2.31{col 49}{space 3}0.021{col 57}{space 4}-3.681964{col 70}{space 3} -.301355
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_news1
{txt}
{com}. 
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female i.pid3 college if newsint_num  == 2

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-249.28324}  
Iteration 1:{space 2}Log likelihood = {res: -226.2794}  
Iteration 2:{space 2}Log likelihood = {res:-224.40739}  
Iteration 3:{space 2}Log likelihood = {res:-224.12635}  
Iteration 4:{space 2}Log likelihood = {res:-224.08008}  
Iteration 5:{space 2}Log likelihood = {res:-224.06957}  
Iteration 6:{space 2}Log likelihood = {res:-224.06711}  
Iteration 7:{space 2}Log likelihood = {res:-224.06659}  
Iteration 8:{space 2}Log likelihood = {res: -224.0665}  
Iteration 9:{space 2}Log likelihood = {res:-224.06649}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:211}
{txt}{col 57}{lalign 13:LR chi2({res:30})}{col 70} = {res}{ralign 6:50.43}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0112}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-224.06649}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1012}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .4715167{col 29}{space 2}   .48889{col 40}{space 1}    0.96{col 49}{space 3}0.335{col 57}{space 4}-.4866901{col 70}{space 3} 1.429724
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}-.0026483{col 29}{space 2} .5149294{col 40}{space 1}   -0.01{col 49}{space 3}0.996{col 57}{space 4}-1.011891{col 70}{space 3} 1.006595
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} -.001899{col 29}{space 2} .0133203{col 40}{space 1}   -0.14{col 49}{space 3}0.887{col 57}{space 4}-.0280062{col 70}{space 3} .0242082
{txt}{space 10}white {c |}{col 17}{res}{space 2} .3523611{col 29}{space 2} .5506299{col 40}{space 1}    0.64{col 49}{space 3}0.522{col 57}{space 4}-.7268537{col 70}{space 3} 1.431576
{txt}{space 9}female {c |}{col 17}{res}{space 2} .3992138{col 29}{space 2} .4283581{col 40}{space 1}    0.93{col 49}{space 3}0.351{col 57}{space 4}-.4403526{col 70}{space 3}  1.23878
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.3054337{col 29}{space 2} .5204998{col 40}{space 1}   -0.59{col 49}{space 3}0.557{col 57}{space 4}-1.325595{col 70}{space 3} .7147272
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2} -.619634{col 29}{space 2} .5533775{col 40}{space 1}   -1.12{col 49}{space 3}0.263{col 57}{space 4}-1.704234{col 70}{space 3}  .464966
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-15.83586{col 29}{space 2}  1680.91{col 40}{space 1}   -0.01{col 49}{space 3}0.992{col 57}{space 4}-3310.358{col 70}{space 3} 3278.686
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-15.81484{col 29}{space 2} 1697.792{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4}-3343.425{col 70}{space 3} 3311.795
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2} -1.38979{col 29}{space 2} .5454402{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4}-2.458833{col 70}{space 3}-.3207466
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.059084{col 29}{space 2} .8336723{col 40}{space 1}   -1.27{col 49}{space 3}0.204{col 57}{space 4}-2.693051{col 70}{space 3}  .574884
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} 1.133601{col 29}{space 2} .6086782{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4} -.059386{col 70}{space 3} 2.326589
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} 1.186208{col 29}{space 2} .5967042{col 40}{space 1}    1.99{col 49}{space 3}0.047{col 57}{space 4} .0166895{col 70}{space 3} 2.355727
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} .0060649{col 29}{space 2} .0140517{col 40}{space 1}    0.43{col 49}{space 3}0.666{col 57}{space 4} -.021476{col 70}{space 3} .0336057
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.9920873{col 29}{space 2} .5143998{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-2.000292{col 70}{space 3} .0161177
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.202333{col 29}{space 2} .5035967{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .2153018{col 70}{space 3} 2.189365
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.0178303{col 29}{space 2} .5730045{col 40}{space 1}   -0.03{col 49}{space 3}0.975{col 57}{space 4}-1.140898{col 70}{space 3} 1.105238
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.9624615{col 29}{space 2} .6312798{col 40}{space 1}   -1.52{col 49}{space 3}0.127{col 57}{space 4}-2.199747{col 70}{space 3} .2748242
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-15.62024{col 29}{space 2} 1647.684{col 40}{space 1}   -0.01{col 49}{space 3}0.992{col 57}{space 4}-3245.022{col 70}{space 3} 3213.782
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-15.63063{col 29}{space 2} 1801.725{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4}-3546.947{col 70}{space 3} 3515.686
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2}-.1791125{col 29}{space 2} .4902523{col 40}{space 1}   -0.37{col 49}{space 3}0.715{col 57}{space 4}-1.139989{col 70}{space 3} .7817644
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-2.245505{col 29}{space 2} .9619732{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}-4.130938{col 70}{space 3}-.3600723
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6408457{col 29}{space 2} .5754794{col 40}{space 1}    1.11{col 49}{space 3}0.265{col 57}{space 4}-.4870732{col 70}{space 3} 1.768765
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .6383569{col 29}{space 2} .5602886{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4}-.4597887{col 70}{space 3} 1.736502
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0016976{col 29}{space 2} .0143851{col 40}{space 1}   -0.12{col 49}{space 3}0.906{col 57}{space 4}-.0298918{col 70}{space 3} .0264967
{txt}{space 10}white {c |}{col 17}{res}{space 2}-.7177004{col 29}{space 2}  .539861{col 40}{space 1}   -1.33{col 49}{space 3}0.184{col 57}{space 4}-1.775808{col 70}{space 3} .3404076
{txt}{space 9}female {c |}{col 17}{res}{space 2} .6849244{col 29}{space 2} .4760256{col 40}{space 1}    1.44{col 49}{space 3}0.150{col 57}{space 4}-.2480686{col 70}{space 3} 1.617917
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .3227369{col 29}{space 2} .5605154{col 40}{space 1}    0.58{col 49}{space 3}0.565{col 57}{space 4} -.775853{col 70}{space 3} 1.421327
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-1.088585{col 29}{space 2} .7005926{col 40}{space 1}   -1.55{col 49}{space 3}0.120{col 57}{space 4}-2.461722{col 70}{space 3} .2845508
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}  -15.629{col 29}{space 2} 1830.454{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4}-3603.254{col 70}{space 3} 3571.996
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .3854545{col 29}{space 2} .9862639{col 40}{space 1}    0.39{col 49}{space 3}0.696{col 57}{space 4}-1.547587{col 70}{space 3} 2.318496
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2}-.0777072{col 29}{space 2} .4849609{col 40}{space 1}   -0.16{col 49}{space 3}0.873{col 57}{space 4}-1.028213{col 70}{space 3} .8727987
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -1.49778{col 29}{space 2} .9107771{col 40}{space 1}   -1.64{col 49}{space 3}0.100{col 57}{space 4}-3.282871{col 70}{space 3}   .28731
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_news2
{txt}
{com}. 
. mlogit  subs_DV_main b2.subs_treatment                                                                                  ///
>                                                 age white female i.pid3 college if newsint_num  == 3

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-171.40897}  
Iteration 1:{space 2}Log likelihood = {res:-156.35444}  
Iteration 2:{space 2}Log likelihood = {res:-153.94858}  
Iteration 3:{space 2}Log likelihood = {res: -153.7111}  
Iteration 4:{space 2}Log likelihood = {res:-153.66108}  
Iteration 5:{space 2}Log likelihood = {res:-153.64886}  
Iteration 6:{space 2}Log likelihood = {res:-153.64635}  
Iteration 7:{space 2}Log likelihood = {res:-153.64582}  
Iteration 8:{space 2}Log likelihood = {res: -153.6457}  
Iteration 9:{space 2}Log likelihood = {res:-153.64567}  
Iteration 10:{space 1}Log likelihood = {res:-153.64566}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:169}
{txt}{col 57}{lalign 13:LR chi2({res:30})}{col 70} = {res}{ralign 6:35.53}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.2240}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-153.64566}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1036}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_main{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}No_intervention{col 17}{txt}{c |}  (base outcome)
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Intervention_~e {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6300869{col 29}{space 2} .4911115{col 40}{space 1}    1.28{col 49}{space 3}0.199{col 57}{space 4}-.3324741{col 70}{space 3} 1.592648
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2}-.5013191{col 29}{space 2} .5612986{col 40}{space 1}   -0.89{col 49}{space 3}0.372{col 57}{space 4}-1.601444{col 70}{space 3}  .598806
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0153836{col 29}{space 2} .0142339{col 40}{space 1}   -1.08{col 49}{space 3}0.280{col 57}{space 4}-.0432816{col 70}{space 3} .0125144
{txt}{space 10}white {c |}{col 17}{res}{space 2} .2754931{col 29}{space 2} .5082625{col 40}{space 1}    0.54{col 49}{space 3}0.588{col 57}{space 4} -.720683{col 70}{space 3} 1.271669
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.039141{col 29}{space 2} .5201211{col 40}{space 1}    2.00{col 49}{space 3}0.046{col 57}{space 4} .0197227{col 70}{space 3}  2.05856
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2}-.2786356{col 29}{space 2} .5821688{col 40}{space 1}   -0.48{col 49}{space 3}0.632{col 57}{space 4}-1.419665{col 70}{space 3} .8623942
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-.5147722{col 29}{space 2} .5354434{col 40}{space 1}   -0.96{col 49}{space 3}0.336{col 57}{space 4}-1.564222{col 70}{space 3} .5346775
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-16.03554{col 29}{space 2} 2036.831{col 40}{space 1}   -0.01{col 49}{space 3}0.994{col 57}{space 4}-4008.151{col 70}{space 3}  3976.08
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-1.115023{col 29}{space 2}  .893931{col 40}{space 1}   -1.25{col 49}{space 3}0.212{col 57}{space 4}-2.867096{col 70}{space 3} .6370491
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2} -1.13361{col 29}{space 2} .6108286{col 40}{space 1}   -1.86{col 49}{space 3}0.063{col 57}{space 4}-2.330812{col 70}{space 3} .0635921
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -.964343{col 29}{space 2} .9370034{col 40}{space 1}   -1.03{col 49}{space 3}0.303{col 57}{space 4}-2.800836{col 70}{space 3} .8721499
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Post_electora~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .5251032{col 29}{space 2} .9173767{col 40}{space 1}    0.57{col 49}{space 3}0.567{col 57}{space 4}-1.272922{col 70}{space 3} 2.323129
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .4450427{col 29}{space 2} .8390015{col 40}{space 1}    0.53{col 49}{space 3}0.596{col 57}{space 4} -1.19937{col 70}{space 3} 2.089455
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0529227{col 29}{space 2} .0271693{col 40}{space 1}   -1.95{col 49}{space 3}0.051{col 57}{space 4}-.1061735{col 70}{space 3} .0003281
{txt}{space 10}white {c |}{col 17}{res}{space 2} .2481815{col 29}{space 2} .8375279{col 40}{space 1}    0.30{col 49}{space 3}0.767{col 57}{space 4}-1.393343{col 70}{space 3} 1.889706
{txt}{space 9}female {c |}{col 17}{res}{space 2} 1.644616{col 29}{space 2} 1.105115{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.5213682{col 70}{space 3} 3.810601
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .1400921{col 29}{space 2}   .86238{col 40}{space 1}    0.16{col 49}{space 3}0.871{col 57}{space 4}-1.550142{col 70}{space 3} 1.830326
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-1.028272{col 29}{space 2}    .9657{col 40}{space 1}   -1.06{col 49}{space 3}0.287{col 57}{space 4}-2.921009{col 70}{space 3} .8644654
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}-16.60114{col 29}{space 2} 3744.794{col 40}{space 1}   -0.00{col 49}{space 3}0.996{col 57}{space 4}-7356.263{col 70}{space 3} 7323.061
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-15.22104{col 29}{space 2} 1164.914{col 40}{space 1}   -0.01{col 49}{space 3}0.990{col 57}{space 4} -2298.41{col 70}{space 3} 2267.968
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2}-.8463331{col 29}{space 2} .8661066{col 40}{space 1}   -0.98{col 49}{space 3}0.328{col 57}{space 4}-2.543871{col 70}{space 3} .8512047
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} -1.31795{col 29}{space 2}  1.72296{col 40}{space 1}   -0.76{col 49}{space 3}0.444{col 57}{space 4}-4.694891{col 70}{space 3}  2.05899
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Electoral_int~n {txt}{c |}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6212968{col 29}{space 2} .6984066{col 40}{space 1}    0.89{col 49}{space 3}0.374{col 57}{space 4} -.747555{col 70}{space 3} 1.990149
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .9072463{col 29}{space 2} .6172528{col 40}{space 1}    1.47{col 49}{space 3}0.142{col 57}{space 4} -.302547{col 70}{space 3}  2.11704
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2} .0102206{col 29}{space 2} .0173428{col 40}{space 1}    0.59{col 49}{space 3}0.556{col 57}{space 4}-.0237706{col 70}{space 3} .0442119
{txt}{space 10}white {c |}{col 17}{res}{space 2} .3985805{col 29}{space 2} .6532291{col 40}{space 1}    0.61{col 49}{space 3}0.542{col 57}{space 4} -.881725{col 70}{space 3} 1.678886
{txt}{space 9}female {c |}{col 17}{res}{space 2} .5518105{col 29}{space 2} .6036405{col 40}{space 1}    0.91{col 49}{space 3}0.361{col 57}{space 4}-.6313032{col 70}{space 3} 1.734924
{txt}{space 15} {c |}
{space 11}pid3 {c |}
{space 4}Republican  {c |}{col 17}{res}{space 2} .1487362{col 29}{space 2} .8054478{col 40}{space 1}    0.18{col 49}{space 3}0.853{col 57}{space 4}-1.429912{col 70}{space 3} 1.727385
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2} .4423429{col 29}{space 2} .7189413{col 40}{space 1}    0.62{col 49}{space 3}0.538{col 57}{space 4}-.9667561{col 70}{space 3} 1.851442
{txt}{space 9}Other  {c |}{col 17}{res}{space 2}  1.61037{col 29}{space 2} 1.145161{col 40}{space 1}    1.41{col 49}{space 3}0.160{col 57}{space 4}-.6341038{col 70}{space 3} 3.854843
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2} .2922557{col 29}{space 2} .9945364{col 40}{space 1}    0.29{col 49}{space 3}0.769{col 57}{space 4}   -1.657{col 70}{space 3} 2.241511
{txt}{space 15} {c |}
{space 8}college {c |}{col 17}{res}{space 2} .2172683{col 29}{space 2} .6043241{col 40}{space 1}    0.36{col 49}{space 3}0.719{col 57}{space 4}-.9671852{col 70}{space 3} 1.401722
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-3.785324{col 29}{space 2} 1.312625{col 40}{space 1}   -2.88{col 49}{space 3}0.004{col 57}{space 4}-6.358022{col 70}{space 3}-1.212625
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_news3
{txt}
{com}. 
. ********************
. * Appendix Table A13
. 
. esttab subs_dem subs_gop subs_fem subs_male subs_news1 subs_news2       subs_news3              ///
>                 using "${c -(}MyProject{c )-}AppendixTableA13.tex"                                ///
>         , replace nobase varwidth(25) noomitted label           longtable                               ///
>         mtitles("Democrats" "Republicans" "Women" "Men" "News Mostly" "News Some" "News Rarely")                ///
>                 title("Substitutability Experiment Subset" "\label{c -(}tab:substitutabilitymlogitsubset{c )-}")          
{res}{txt}{p 0 4 2}
(file {bf}
/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA13.tex{rm}
not found)
{p_end}
(output written to {browse  `"~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/AppendixTableA13.tex"'})

{com}.                 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * Testing pre-registered hypotheses
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. ***** Now, we run a variety of models for support of each strategy in a loop.
. 
. ***** This sets up reporting of the pre-registered hypotheses (listed below).
. 
. lab var subs_contribute "Contribute funds"
{txt}
{com}. lab var subs_concessionbefore "Concession before election"
{txt}
{com}. lab var subs_coup "Encourage a coup"
{txt}
{com}. lab var subs_concessionafter "Concession after election"
{txt}
{com}. lab var subs_sanctions "Sanctions after election"
{txt}
{com}. 
. local strategies contribute concessionbefore coup concessionafter sanctions
{txt}
{com}.         
. foreach var of local strategies {c -(}
{txt}  2{com}.         local title: variable label subs_`var'
{txt}  3{com}. 
.         * Base model (no covariates)
.         local modelname olog
{txt}  4{com}.         quietly ologit subs_`var' b2.subs_treatment 
{txt}  5{com}.         local n1 = e(N)
{txt}  6{com}.         eststo strat_`var'_base
{txt}  7{com}.         
.         * Include demographic variables
.         
.         quietly ologit subs_`var' b2.subs_treatment             ///
>                 age white female college i.pid7
{txt}  8{com}.         local n2 = e(N)
{txt}  9{com}.         eststo strat_`var'_cov
{txt} 10{com}.         
.         * generate a coefplot for base and covariates
.         
.         coefplot        (strat_`var'_base, label(Treatments Only, N=`n1'))                              ///
>                                 (strat_`var'_cov, label(With Covariates, N=`n2'))                               ///
>                                 , title(`title')                                                                                                ///
>                                 keep(*subs*) base                                                                                       ///
>                                 name(g_`var'_`modelname', replace)  xline(0)                                    ///
>                                 legend(ring(0) pos(3) rows(2) size(vsmall))                                     ///
>                                 ylab(,labsize(vsmall))                                                          
{txt} 11{com}.                 
.         {c )-}
{res}{txt}
{com}. 
. ********************
. * Appendix Figure A8
.         
. grc1leg g_contribute_olog g_coup_olog g_concessionbefore_olog g_concessionafter_olog g_sanctions_olog           ///
>         , rows(3) title("{c -(}bf: Results by Strategy, Substitutability Experiment{c )-}")                       ///
>         subtitle("{c -(}it: Ordinal Logistic Regression Coefficients{c )-}")                                      ///
>         note("Covariates model includes age, white racial ID, female gender ID, college degree, and party ID.",size(vsmall))                                                                                                                            ///
>         xcommon
{res}{txt}
{com}.         
. gr export "${c -(}MyProject{c )-}01 Figure A8.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/01 Figure A8.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. * Dichotomous (Intervention or No)
. * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 
. 
. * Treatment only
. 
. logit   subs_DV_any b2.subs_treatment

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-533.24799}  
Iteration 1:{space 2}Log likelihood = {res:-525.63317}  
Iteration 2:{space 2}Log likelihood = {res:-525.60705}  
Iteration 3:{space 2}Log likelihood = {res:-525.60704}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:824}
{txt}{col 57}{lalign 13:LR chi2({res:2})}{col 70} = {res}{ralign 6:15.28}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0005}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-525.60704}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0143}

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   subs_DV_any{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
subs_treatment {c |}
{space 1}Humanitarian  {c |}{col 16}{res}{space 2} .6939091{col 28}{space 2} .1829862{col 39}{space 1}    3.79{col 48}{space 3}0.000{col 56}{space 4} .3352627{col 69}{space 3} 1.052555
{txt}{space 4}Economics  {c |}{col 16}{res}{space 2}  .490923{col 28}{space 2} .1866085{col 39}{space 1}    2.63{col 48}{space 3}0.009{col 56}{space 4}  .125177{col 69}{space 3}  .856669
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2}-1.031602{col 28}{space 2} .1372566{col 39}{space 1}   -7.52{col 48}{space 3}0.000{col 56}{space 4} -1.30062{col 69}{space 3}-.7625835
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_base_dichot_log, title("Base, Logit")
{txt}
{com}. local   subs_base_dichot_logN = e(N)
{txt}
{com}. 
. * With demographics
. logit   subs_DV_any b2.subs_treatment                                                                                   ///
>                                                 age white female college i.pid7

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-533.24799}  
Iteration 1:{space 2}Log likelihood = {res:-501.62027}  
Iteration 2:{space 2}Log likelihood = {res:-501.22074}  
Iteration 3:{space 2}Log likelihood = {res:-501.22067}  
Iteration 4:{space 2}Log likelihood = {res:-501.22067}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:824}
{txt}{col 57}{lalign 13:LR chi2({res:13})}{col 70} = {res}{ralign 6:64.05}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-501.22067}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0601}

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    subs_DV_any{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}subs_treatment {c |}
{space 2}Humanitarian  {c |}{col 17}{res}{space 2} .6478088{col 29}{space 2} .1901412{col 40}{space 1}    3.41{col 49}{space 3}0.001{col 57}{space 4} .2751389{col 70}{space 3} 1.020479
{txt}{space 5}Economics  {c |}{col 17}{res}{space 2} .5144482{col 29}{space 2} .1935883{col 40}{space 1}    2.66{col 49}{space 3}0.008{col 57}{space 4} .1350221{col 70}{space 3} .8938742
{txt}{space 15} {c |}
{space 12}age {c |}{col 17}{res}{space 2}-.0076704{col 29}{space 2} .0048422{col 40}{space 1}   -1.58{col 49}{space 3}0.113{col 57}{space 4} -.017161{col 70}{space 3} .0018202
{txt}{space 10}white {c |}{col 17}{res}{space 2} -.146775{col 29}{space 2}  .182563{col 40}{space 1}   -0.80{col 49}{space 3}0.421{col 57}{space 4}-.5045919{col 70}{space 3} .2110418
{txt}{space 9}female {c |}{col 17}{res}{space 2} .5733061{col 29}{space 2} .1581973{col 40}{space 1}    3.62{col 49}{space 3}0.000{col 57}{space 4}  .263245{col 70}{space 3} .8833672
{txt}{space 8}college {c |}{col 17}{res}{space 2}-.4830404{col 29}{space 2} .1624341{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4}-.8014053{col 70}{space 3}-.1646755
{txt}{space 15} {c |}
{space 11}pid7 {c |}
Not very str..  {c |}{col 17}{res}{space 2} .1611654{col 29}{space 2} .2685455{col 40}{space 1}    0.60{col 49}{space 3}0.548{col 57}{space 4}-.3651741{col 70}{space 3}  .687505
{txt}{space 1}Lean Democrat  {c |}{col 17}{res}{space 2}-.1345476{col 29}{space 2} .2843563{col 40}{space 1}   -0.47{col 49}{space 3}0.636{col 57}{space 4}-.6918758{col 70}{space 3} .4227806
{txt}{space 3}Independent  {c |}{col 17}{res}{space 2}-1.012515{col 29}{space 2}  .278311{col 40}{space 1}   -3.64{col 49}{space 3}0.000{col 57}{space 4}-1.557994{col 70}{space 3}-.4670353
{txt}Lean Republi..  {c |}{col 17}{res}{space 2}-.3702163{col 29}{space 2} .3059587{col 40}{space 1}   -1.21{col 49}{space 3}0.226{col 57}{space 4}-.9698843{col 70}{space 3} .2294517
{txt}Not very str..  {c |}{col 17}{res}{space 2}-.3452306{col 29}{space 2} .2927159{col 40}{space 1}   -1.18{col 49}{space 3}0.238{col 57}{space 4}-.9189433{col 70}{space 3}  .228482
{txt}Strong Repub..  {c |}{col 17}{res}{space 2} .0169588{col 29}{space 2} .2308523{col 40}{space 1}    0.07{col 49}{space 3}0.941{col 57}{space 4}-.4355034{col 70}{space 3}  .469421
{txt}{space 6}Not sure  {c |}{col 17}{res}{space 2}-.2447334{col 29}{space 2} .5577902{col 40}{space 1}   -0.44{col 49}{space 3}0.661{col 57}{space 4}-1.337982{col 70}{space 3} .8485153
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-.4763061{col 29}{space 2} .3509211{col 40}{space 1}   -1.36{col 49}{space 3}0.175{col 57}{space 4}-1.164099{col 70}{space 3} .2114866
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est sto subs_adj_dichot_log, title("Adj, Logit")
{txt}
{com}. local   subs_adj_dichot_logN = e(N)
{txt}
{com}.         
. * Coefplot
. local gtitle gph_overall_log
{txt}
{com}. coefplot        (subs_base_dichot_log,label(Base))                                                                      ///
>                         (subs_adj_dichot_log, label(Covariates))                                                                ///
>                         , title("{c -(}bf: Effects of Treatment on Intervention Support{c )-}", span)     ///
>                         xtitle("{c -(}it: Logistic Coefficients{c )-}", size(small))      ///
>                         keep(*.subs*) base                                                                                              ///
>                         headings(1.subs_treatment = "{c -(}bf:Treatment{c )-}"                                                    ///
>                                                 , labsize(vsmall))                                                                              ///
>                         name(`gtitle',replace)  xline(0)                                                                        ///
>                         legend(ring(0) pos(10) rows(4) size(small))                                                     ///
>                         ylab(,labsize(vsmall))                                                                                          ///
>                         note("2022 CES Hegemony experiment. Base N = `subs_base_dichot_logN'; Covariates N = `subs_adj_dichot_logN'." "Full specification for Adjusted includes party ID, gender, age, racial ID, college degree, and party ID.", size(vsmall))
{res}{txt}
{com}.         
. * Substantive
.         est restore subs_base_dichot_log
{txt}(results {stata estimates replay subs_base_dichot_log:subs_base_dichot_log} are active now)

{com}.         margins subs_treatment, atmeans post 
{res}
{txt}{col 1}Adjusted predictions{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:824}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(subs_DV_any), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}     Margin{col 28}   std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
subs_treatment {c |}
{space 1}Humanitarian  {c |}{col 16}{res}{space 2} .4163701{col 28}{space 2} .0294073{col 39}{space 1}   14.16{col 48}{space 3}0.000{col 56}{space 4} .3587328{col 69}{space 3} .4740074
{txt}{space 3}Leadership  {c |}{col 16}{res}{space 2} .2627737{col 28}{space 2} .0265899{col 39}{space 1}    9.88{col 48}{space 3}0.000{col 56}{space 4} .2106586{col 69}{space 3} .3148889
{txt}{space 4}Economics  {c |}{col 16}{res}{space 2} .3680297{col 28}{space 2} .0294045{col 39}{space 1}   12.52{col 48}{space 3}0.000{col 56}{space 4}  .310398{col 69}{space 3} .4256615
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         est sto subs_base_dichot_logpost, title("Base")
{txt}
{com}. 
. 
.         est restore subs_adj_dichot_log
{txt}(results {stata estimates replay subs_adj_dichot_log:subs_adj_dichot_log} are active now)

{com}.         margins subs_treatment, atmeans post 
{res}
{txt}{col 1}Adjusted predictions{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:824}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(subs_DV_any), predict()}{p_end}
{p2colreset}{...}
{lalign 4:At: }{space 0}{lalign 16:age} = {res:{ralign 8:53.05218}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:white} = {res:{ralign 8:.7463592}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:female} = {res:{ralign 8:.5546117}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:college} = {res:{ralign 8:.3919903}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:1.pid7} = {res:{ralign 8:.2730583}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:2.pid7} = {res:{ralign 8:.1019417}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:3.pid7} = {res:{ralign 8:.092233}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:4.pid7} = {res:{ralign 8:.1395631}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:5.pid7} = {res:{ralign 8:.092233}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:6.pid7} = {res:{ralign 8:.0970874}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:7.pid7} = {res:{ralign 8:.1856796}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:8.pid7} = {res:{ralign 8:.0182039}} {txt:(mean)}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}     Margin{col 28}   std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
subs_treatment {c |}
{space 1}Humanitarian  {c |}{col 16}{res}{space 2} .3958904{col 28}{space 2} .0302879{col 39}{space 1}   13.07{col 48}{space 3}0.000{col 56}{space 4} .3365273{col 69}{space 3} .4552536
{txt}{space 3}Leadership  {c |}{col 16}{res}{space 2} .2553219{col 28}{space 2} .0271303{col 39}{space 1}    9.41{col 48}{space 3}0.000{col 56}{space 4} .2021476{col 69}{space 3} .3084962
{txt}{space 4}Economics  {c |}{col 16}{res}{space 2} .3644784{col 28}{space 2} .0304596{col 39}{space 1}   11.97{col 48}{space 3}0.000{col 56}{space 4} .3047787{col 69}{space 3} .4241782
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.         est sto subs_adj_dichot_logpost, title("Covariates")
{txt}
{com}. 
. mylabels 0(10)50, myscale(@/100) local(myla)
{res}{p}                  0 "0"                  .1 "10"                  .2 "20"                  .3 "30"                  .4 "40"                  .5 "50" 
{txt}
{smcl}
{com}. 
. coefplot (subs_base_dichot_logpost, label(Base))                                                                ///
>                  (subs_adj_dichot_logpost, label(Covariates))                                                   ///
>                  ,      ///
>                         recast(bar) barw(0.15) vertical                                                                         ///
>                         ciopts(recast(rcap) color(gs8)) citop                                                           ///
>                 xlab(1 "Humanitarian" 2 "Leadership" 3 "Economics",                                             ///
>                                 labsize(vsmall))                                                                                                ///
>                 title("{c -(}bf:Predicted Acceptability Evaluations{c )-}", span size(medsmall))  ///
>                 yline(0) ylab(`myla',labsize(vsmall))                                                                   ///
>                 ytitle("Predicted share", size(vsmall))                                                                 ///
>                 name(gph_Predicted, replace) legend(rows(1) ring(2) pos(1))
{res}{txt}
{com}.                 
. * DYDX
. est restore subs_base_dichot_log
{txt}(results {stata estimates replay subs_base_dichot_log:subs_base_dichot_log} are active now)

{com}. margins, atmeans dydx(subs_treatment) post
{res}
{txt}{col 1}Conditional marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:824}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(subs_DV_any), predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.subs_treatment 3.subs_treatment}{p_end}
{p2colreset}{...}
{lalign 4:At: }{space 0}{lalign 16:1.subs_treatment} = {res:{ralign 8:.3410194}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:2.subs_treatment} = {res:{ralign 8:.3325243}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:3.subs_treatment} = {res:{ralign 8:.3264563}} {txt:(mean)}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
subs_treatment {c |}
{space 1}Humanitarian  {c |}{col 16}{res}{space 2} .1535964{col 28}{space 2} .0396461{col 39}{space 1}    3.87{col 48}{space 3}0.000{col 56}{space 4} .0758915{col 69}{space 3} .2313013
{txt}{space 4}Economics  {c |}{col 16}{res}{space 2}  .105256{col 28}{space 2}  .039644{col 39}{space 1}    2.66{col 48}{space 3}0.008{col 56}{space 4} .0275553{col 69}{space 3} .1829568
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est sto subs_base_dichot_logdydx
{txt}
{com}. 
. est restore subs_adj_dichot_log
{txt}(results {stata estimates replay subs_adj_dichot_log:subs_adj_dichot_log} are active now)

{com}. margins, atmeans dydx(subs_treatment) post
{res}
{txt}{col 1}Conditional marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:824}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(subs_DV_any), predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.subs_treatment 3.subs_treatment}{p_end}
{p2colreset}{...}
{lalign 4:At: }{space 0}{lalign 16:1.subs_treatment} = {res:{ralign 8:.3410194}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:2.subs_treatment} = {res:{ralign 8:.3325243}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:3.subs_treatment} = {res:{ralign 8:.3264563}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:age} = {res:{ralign 8:53.05218}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:white} = {res:{ralign 8:.7463592}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:female} = {res:{ralign 8:.5546117}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:college} = {res:{ralign 8:.3919903}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:1.pid7} = {res:{ralign 8:.2730583}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:2.pid7} = {res:{ralign 8:.1019417}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:3.pid7} = {res:{ralign 8:.092233}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:4.pid7} = {res:{ralign 8:.1395631}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:5.pid7} = {res:{ralign 8:.092233}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:6.pid7} = {res:{ralign 8:.0970874}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:7.pid7} = {res:{ralign 8:.1856796}} {txt:(mean)}
{lalign 4:}{space 0}{lalign 16:8.pid7} = {res:{ralign 8:.0182039}} {txt:(mean)}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
subs_treatment {c |}
{space 1}Humanitarian  {c |}{col 16}{res}{space 2} .1405685{col 28}{space 2} .0405247{col 39}{space 1}    3.47{col 48}{space 3}0.001{col 56}{space 4} .0611416{col 69}{space 3} .2199955
{txt}{space 4}Economics  {c |}{col 16}{res}{space 2} .1091565{col 28}{space 2} .0406949{col 39}{space 1}    2.68{col 48}{space 3}0.007{col 56}{space 4}  .029396{col 69}{space 3}  .188917
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est sto subs_adj_dichot_logdydx
{txt}
{com}. 
. mylabels 0(5)20, myscale(@/100) local(myla)
{res}{p}                  0 "0"                 .05 "5"                  .1 "10"                 .15 "15"                  .2 "20" 
{txt}
{smcl}
{com}. 
. coefplot (subs_base_dichot_logdydx, label(Base))                                                                                ///
>                 (subs_adj_dichot_logdydx, label(Covariates))                                                                            ///
>                 , recast(bar) vertical barw(0.25)                                                                                       ///
>                 ciopts(recast(rcap) color(gs8)) citop                                                                           ///
>                 xlab(1 "Humanitarian" 2 "Economics",                                                                            ///
>                                 labsize(vsmall))                                                                                                        ///
>                 title("{c -(}bf:Differences in Predicted Outcomes{c )-}", size(medsmall) span)            ///
>                 subtitle("{c -(}it:Base is Leadership Condition{c )-}", size(vsmall) span)                        ///
>                 ylab(`myla',labsize(vsmall))                                                                                            ///
>                 name(gph_dydx, replace)                                                                                                         ///
>                 ytitle("Difference between base and treatment", size(vsmall))                           ///
>                 legend(rows(1) ring(2) pos(12)) 
{res}{txt}
{com}.         
. ********************
. * Appendix Figure A9
.                 
. gr combine gph_overall_log gph_Predicted gph_dydx, rows(3)                                              ///
>         title("Substitutability Results")
{res}{txt}
{com}. graph display, ysize(8) xsize(6)
{res}{txt}
{com}. gr export "${c -(}MyProject{c )-}01 Figure A9.pdf", replace
{txt}{p 0 4 2}
file {bf}
~/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload/01 Figure A9.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/rpm47/Dropbox/0001 Academic Projects/Ongoing/0155 Voting Abroad Purpose/Replication/Upload//Experiment3Pt2Log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}12 Jan 2025, 09:30:03
{txt}{.-}
{smcl}
{txt}{sf}{ul off}